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AI + Automation: Productivity for Corporate Teams

AI + Automation: Productivity for Corporate Teams

By Saiful Anuar

AIProductivityFundamentals

Overview

This high-impact, 1-day professional workshop transitions corporate professionals from passive AI chat users into high-efficiency system builders. The curriculum is constructed with a 3-layer architecture—Universal Foundation (30%), Role-Based Execution Tracks (50%), and Governance & Quantitative ROI (20%)—guaranteeing immediate reusability across any business function. Rather than working within isolated chatbot interfaces, participants bring generative AI directly into their daily productivity environment. Leaders, managers, and individual contributors will master prompt engineering architectures (PTCF), build custom micro-assistants (Custom AI Assistants), leverage ecosystem integrations to automate scheduling and communications, and implement security-compliant automation workflows while maintaining strict data privacy boundaries.

Target Audience

Corporate Executives, Operations Support, Administrative Professionals, Department Coordinators, and Office Management Teams

Course Duration

1 Day

Claimable

HRD Pending

Delivery Format

In Person

Max Class Size

15

Learning Outcomes

1

Construct structured PTCF (Persona, Task, Context, Format) prompts using Power Prompt meta-command shortcuts to eliminate generic AI responses.

2

Evaluate operational trade-offs between high-velocity models (Fast LLMs) and deep-reasoning models (Reasoning / Advanced LLMs) based on task risk and auditability requirements.

3

Execute persistent persona configurations by building, stress-testing, and security-auditing custom micro-assistants (Custom AI Assistants).

4

Execute real-time cross-tool retrieval and action queries using AI extension integrations (Email, Drive, Calendar, Tasks) to automate inbox triage and scheduling.

5

Audit AI-generated summaries and automated actions using human-in-the-loop verification frameworks to prevent hallucinations and maintain data privacy boundaries.

Prerequisites

  • 1Access to AI tools, Google Gemini or Microsoft Copilot enterprise version is a must.